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Stochastic orders and multivariate measures of risk contagion

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URI: http://hdl.handle.net/10498/29859

DOI: 10.1016/j.insmatheco.2020.11.008

ISSN: 0167-6687

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Author/s
Ortega Jiménez, PatriciaAuthority UCA; Sordo Díaz, Miguel ÁngelAuthority UCA; Suárez Llorens, AlfonsoAuthority UCA
Date
2021
Department
Estadística e Investigación Operativa
Source
Insurance: Mathematics and Economics - 2021 Vol. 96 pp. 199-207
Abstract
Co-risk measures and risk contributions measures are used in portfolio risk analysis to assess and quantify the risk of contagion, given that one or more assets in the portfolio are in distress. In this paper, given two random vectors X and Y that represent two portfolios of n assets (n ≥ 2) and exhibit some kind of positive dependence, we give sufficient conditions based on stochastic orders to compare the risk of contagion of the portfolios. The measures of risk contagion that we consider are the conditional value at risk (CoVaR), the conditional expected shortfall (CoES) and the recently introduced marginal mean excess (MME).
Subjects
risk measure; Contagion risk; Stochastic orders; CoVaR; CoES
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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
This work is under a Creative Commons License Attribution-NonCommercial-NoDerivatives 4.0 Internacional

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